JMLR 2012
MULTIBOOST: A Multi-purpose Boosting Package
Abstract
The MULTIBOOST package provides a fast C++ implementation of multi-class/multi-label/multi-task boosting algorithms. It is based on ADABOOST.MH but it also implements popular cascade classifiers and FILTERBOOST. The package contains common multi-class base learners (stumps, trees, products, Haar filters). Further base learners and strong learners following the boosting paradigm can be easily implemented in a flexible framework. [abs] [ pdf ][ bib ] [ code ] © JMLR 2012. ( edit, beta )
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Context
- Venue
- Journal of Machine Learning Research
- Archive span
- 2000-2026
- Indexed papers
- 4180
- Paper id
- 762823667264031296